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l_softmax_tensorflow

labelme

Image Polygonal Annotation with Python (polygon, rectangle, line, point and image-level flag annotation).

laneatt

Code of the paper entitled "Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection"

largemargin_softmax_loss

Implementation for <Large-Margin Softmax Loss for Convolutional Neural Networks> in ICML'16.

lee-slam-source

SLAM 开发学习资源与经验分享

lidar_camera_calibration

ROS package to find a rigid-body transformation between a LiDAR and a camera

light_head_rcnn

Light-Head R-CNN

lightnet

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

listrbtree

lstm

Minimal, clean example of lstm neural network training in python, for learning purposes.

lstr

This is an official repository of End-to-end Lane Shape Prediction with Transformers.

mace

MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mlnd-capstone

Lane Detection with Deep Learning - My Capstone project for Udacity's ML Nanodegree

mmdetection

Open MMLab Detection Toolbox

mmdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch and CoreML.

mobile-id

Deep Face Model Compression

mobile-semantic-segmentation

Real-Time Semantic Segmentation in Mobile device

mobilefacenet-caffe

a caffe implementation of mobilefacenet,with the record of trainnig log

mobilenet-caffe

Caffe Implementation of Google's MobileNets (v1 and v2)

mobilenet-ssd

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

mobilenetv2

mobilenetv2-ssdlite

Caffe implementation of SSD detection on MobileNetv2, converted from tensorflow.

models

Models built with TensorFlow

mpvue

基于 Vue.js 的小程序开发框架，从底层支持 Vue.js 语法和构建工具体系。

mscnn

Caffe implementation of our multi-scale object detection framework

mtcnn-tensorflow

Reproduce MTCNN using Tensorflow

multimodal_retrieval.pytorch

Multi-Modal and Cross-Modal Retrieval

murphy

one simple implement of CNN by c language

murphyplus

An implement of caffe‘s inference by c language.